scraper_basic_get_table.py

data_rows = table.find_all("tr", attrs={"class": "team"})  # Includes the header row!
parsed_data = list()
stat_keys = [col.attrs["class"][0] for col in data_rows[0].find_all("td")]

for row in data_rows:
    tmp_data = dict()
    for attr in stat_keys:
        attr_val = row.find(attrs={"class": attr}).text
        tmp_data[attr] = re.sub(r"^\s+|\s+$", "", attr_val)
    parsed_data.append(tmp_data)

data_df = pd.DataFrame(parsed_data)